A Study on Prediction of Temperature and Humidity for Estimation of Cooling Load

냉방부하 추정을 위한 온도와 습도 예측에 관한 연구

  • Yoo, Seong-Yeon (BK21 Mechatronics Group of Chungnam Notional University) ;
  • Lee, Je-Myo (Korea Basic Science Institute) ;
  • Han, Kyou-Hyun (BK21 Mechatronics Group of Chungnam Notional University) ;
  • Han, Seung-Ho (Power Distribution System Lab., Korea Electric Power Research Institute)
  • 유성연 (충남대학교 BK21 메카트로닉스 사업단) ;
  • 이제묘 (한국기초과학지원연구원 열유체기술팀) ;
  • 한규현 (충남대학교 BK21 메카트로닉스 사업단) ;
  • 한승호 (한전 전력연구원 전력계통연구실)
  • Published : 2007.05.10

Abstract

To estimate the cooling load for the following day, outdoor temperature and humidity are needed in hourly base. But the meteorological administration forecasts only maximum and minimum temperature. New methodology is proposed for predicting hourly outdoor temperature and humidity by using the forecasted maximum and minimum temperature. The correlations for normalized outdoor temperature and specific humidity has been derived from the weather data for five years from 2001 to 2005 at Seoul, Daejeon and Pusan. The correlations for normalized temperature are independent of date, while the correlations for specific humidity are linearly dependent on date. The predicted results show fairly good agreement with the measured data. The prediction program is also developed for hourly outdoor dry bulb temperature, specific humidity, dew point, relative humidity, enthalpy and specific volume.

Keywords

References

  1. Kawashima, M., Dorgan, C. E. and Michell, J. W., 1995, Hourly thermal load prediction for next 24 hours by ARIMA, EWMA, LA and an artificial neural network, ASHRAE Transactions, Vol. 101, No.1, pp. 186-200
  2. Shaheen, N. I. and Ahmed, O., 1997, A simple methodology to predict local temperature humidity, ASHRAE Transaction, Vol. 103, No.1 pp. 451-459
  3. Han, D. Y. and Yang, H. B., 2002, Building energy control algorithm by using outdoor air temperature prediction, Proceedings of the SAREK 2002 Winter Annual Conference, pp.345-350
  4. Hokoi, S. I. and Matsumoto, M., 1988, An analysis of stochastic properties of the heating load in an intermittently air-conditioned building, Energy and Building, Vol. 11, pp. 259-266 https://doi.org/10.1016/0378-7788(88)90041-2
  5. Jung, J. H., Shin, Y. G. and Park, B. Y., 2006, Study on the feasibility of applying fore¬casted weather data for operations of thermal storage system, Journal of SAREK, Vol. 18, No.1, pp.87-94
  6. Kim, B., Ejvind, L., Soren, P., Rolf, D. and Jesfer, T., 2005, Use of weather forecasting to control night cooling, Proceedings of the IBPSA Annual Conference, pp. 1347-1353
  7. Weather data from 2001 to 2005 in meteorological office